Data Scientist, Talent Management Measurement & ...

Data Scientist, Talent Management Measurement & Insights Job ID: 2875790 | Amazon.com Services LLC Are you passionate about using science to build disruptive solutions that challenge the status-quo? Do you want to fundamentally redefine talent management and development for one of the largest and most complex workforces in the world? If you are, we want to talk to you. Key job responsibilities We are looking for a Data Scientist generalist who can work with senior leadership and partner with technical experts to deliver best-in-class data science solutions for Amazon Talent. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. This person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. A day in the life In this role, you will closely partner with Amazon WW Stores, Finance, and HR leadership teams, and with various engineering, data, and science teams across the company. Your goal will be to discover best-in-class approaches to help better understand and forecast talent movement and enable your customers to derive actionable insights to inform talent strategies. You will develop scientific solutions grounded in rigorous experimentation and measurement to support the growth and mobilization of our workforce, and strategic organizational planning to ensure our talent is optimally positioned to capitalize on emerging business opportunities. About the team The Measurement & Insights team serves as the analytical backbone of Amazon Stores Talent Management, ensuring that Amazon Stores uses state-of-the-art data-driven talent optimization in the rapidly evolving retail and e-commerce landscape. We focus on providing scientific insights to solve durable customer problems relating to talent optimization, organizational structure, and operating mechanisms. Our interdisciplinary science team with expertise in psychometric measurement, experimental and quasi-experimental research design, statistics, and machine learning guides the metric design and scientific approaches, uncovers blind spots, and provides proactive insights to address potential challenges and opportunities. BASIC QUALIFICATIONS - 2+ years of data scientist experience- 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience- 2+ years of machine learning/statistical modeling data analysis tools and techniques experience- Experience applying theoretical models in an applied environment PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company Posted: January 3, 2025 (Updated 3 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr

Created: 2025-02-01